---
title: "Hung-yi Lee — author profile and papers — Elamur Research"
description: "Hung-yi Lee, National Taiwan University: 5 papers on Elamur Research (2024–2026), h-index 46 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/hung-yi-lee/"
---
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# Hung-yi Lee

Hung-yi Lee has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Cheng-Kuang Wu](https://md.research.elamur.ai/free/en/authors/cheng-kuang-wu/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/), [Li-Chun Lu](https://md.research.elamur.ai/free/en/authors/li-chun-lu/).

5 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5040508737) · [ORCID](https://orcid.org/0000-0002-9654-5747) · [Wikidata](https://www.wikidata.org/wiki/Q60989864) · [**h-index 46**](https://openalex.org/authors/A5040508737) · [490 works](https://openalex.org/works?filter=author.id:A5040508737) · [9,888 citations](https://openalex.org/works?filter=author.id:A5040508737&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/#papers) · [🔗 Cited 828 times in our library](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/cited-by/) · [17 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7073](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7073)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hung-yi+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hung-yi+Lee) · [dblp](https://dblp.org/search?q=Hung-yi+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Hung-yi+Lee)

## Affiliations

[🎓**National Taiwan University** Taipei · Taiwan 2009–2026 · 374 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**National Taipei University** Taipei · Taiwan 2026 · 1 paper*current*](https://ror.org/03e29r284) · [🎓**National Tsing Hua University** Hsinchu · Taiwan 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-tsing-hua-university/) · [🎓**National Taiwan University of Science and Technology** Taipei · Taiwan 2018–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university-of-science-and-technology/) · [🔬**Academia Sinica** Taipei · Taiwan 2013 · 4 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🔬**Research Center for Information Technology Innovation, Academia Sinica** Taipei · Taiwan 2013 · 4 papers](https://ror.org/000zgvm20) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2014–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Intel** Taipei · Taiwan 2022–2023 · 2 papers](https://ror.org/03gezv924) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2014–2020 · 2 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Over-Reasoning and Redundant Calculation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chiang-2024-over-reasoning-redundant-calculation-large/)** *(2024 · 33 citations)* Chain-of-thought (CoT) reasoning helps LLMs on math problems, but it also makes outputs longer, slower and more expensive.
2. **[Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?](https://md.research.elamur.ai/free/en/papers/tam-2025-language-matters-multilingual-input-reasoning/)** *(2025 · 17 citations)* Large reasoning models (LRMs) write an explicit thinking trace before they answer. It is unclear which language that trace uses when the prompt is not in English, and whether the choice matters. Tam et al. show that open-weight LRMs such as QwQ-32B and Qwen3-30B-A3B mostly think in English, and sometimes in Chinese.…
3. **[Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/)** *(2025 · 17 citations)* Large audio-language models (LALMs) extend text LLMs so they can take in and sometimes produce speech, environmental sounds and music.
4. **[CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks](https://md.research.elamur.ai/free/en/papers/jiang-2026-codejudgebench-benchmarking-llm-as-judge/)** *(2026 · 13 citations)* LLMs increasingly act as evaluators that compare, rank, or score code, yet little is known about how reliable they are in this role.
5. **[BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation](https://md.research.elamur.ai/free/en/papers/pai-2026-billy-steering-large-language-models/)** *(2026 · 4 citations)* Multi-LLM setups, where several role-playing models debate an idea, tend to produce more creative output than a single model.

## All works

22 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[SUPERB: Speech Processing Universal PERformance Benchmark ↗](https://doi.org/10.21437/interspeech.2021-1775) Interspeech (USB) · no summary yet**Shu-Wen Yang et al.*2021 · 799 citations*
2. **[Can Large Language Models Be an Alternative to Human Evaluations? ↗](https://aclanthology.org/2023.acl-long.870/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Cheng-Han Chiang, Hung-yi Lee*2023 · 693 citations*
3. **[One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization ↗](https://doi.org/10.21437/interspeech.2019-2663) Interspeech (USB) · no summary yet**Ju-Chieh Chou, Hung-yi Lee*2019 · 241 citations*
4. **[Tree Transformer: Integrating Tree Structures into Self-Attention ↗](https://aclanthology.org/D19-1098/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen*2019 · 167 citations*
5. **[Supervised and Unsupervised Transfer Learning for Question Answering ↗](https://aclanthology.org/N18-1143/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Yu-An Chung, Hung-Yi Lee, James Glass*2018 · 106 citations*
6. **[Learning Chinese Word Representations From Glyphs Of Characters ↗](https://aclanthology.org/D17-1025/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tzu-Ray Su, Hung-Yi Lee*2017 · 106 citations*
7. **[DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs ↗](https://aclanthology.org/D19-1194/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee*2019 · 104 citations*
8. **[SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities ↗](https://aclanthology.org/2022.acl-long.580/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hsiang-Sheng Tsai et al.*2022 · 91 citations*
9. **[End-to-End Text-to-Speech for Low-Resource Languages by Cross-Lingual Transfer Learning ↗](https://doi.org/10.21437/interspeech.2019-2730) Interspeech (USB) · no summary yet**Yuan-Jui Chen et al.*2019 · 89 citations*
10. **[Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. ↗](https://aclanthology.org/2024.emnlp-industry.91/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Zhi Rui Tam et al.*2024 · 84 citations*
11. **[Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks ↗](https://aclanthology.org/D18-1451/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yaushian Wang, Hung-Yi Lee*2018 · 81 citations*
12. **[Recurrent neural network based language model personalization by social network crowdsourcing ↗](https://doi.org/10.21437/interspeech.2013-621) Interspeech (USB) · no summary yet**Tsung-Hsien Wen et al.*2013 · 66 citations*
13. **[Over-Reasoning and Redundant Calculation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chiang-2024-over-reasoning-redundant-calculation-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Cheng-Han Chiang, Hung-yi Lee*2024 · 33 citations*
14. **[Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation ↗](https://aclanthology.org/2020.acl-main.533/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Shun-Po Chuang et al.*2020 · 19 citations*
15. [**Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? arXiv:2505.17407**Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/tam-2025-language-matters-multilingual-input-reasoning/)
16. **[Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chih-Kai Yang, Neo S. Ho, Hung-yi Lee*2025 · 17 citations*
17. **[CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks](https://md.research.elamur.ai/free/en/papers/jiang-2026-codejudgebench-benchmarking-llm-as-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongchao Jiang, Yiming Chen, Yushi Cao, et al.*2026 · 13 citations*
18. **[ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets ↗](https://doi.org/10.21437/interspeech.2024-2248) Interspeech (USB) · no summary yet**Jiatong Shi et al.*2024 · 13 citations*
19. **[Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets ↗](https://aclanthology.org/D19-1611/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Hong-Ren Mao, Hung-Yi Lee*2019 · 13 citations*
20. **[BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation](https://md.research.elamur.ai/free/en/papers/pai-2026-billy-steering-large-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.*2026 · 4 citations*
21. **[The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties ↗](https://doi.org/10.21437/interspeech.2025-1013) Interspeech (USB) · no summary yet**William C. Chen et al.*2025 · 4 citations*
22. **[Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC ↗](https://doi.org/10.1109/taslp.2024.3451977.) arXiv:2306.06345 · IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 32, 2024 · no summary yet**Shen-sian Syu, Juncheng Xie, Hung-yi Lee*2023*

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Cheng-Kuang Wu](https://md.research.elamur.ai/free/en/authors/cheng-kuang-wu/)
- [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/)
- [Li-Chun Lu](https://md.research.elamur.ai/free/en/authors/li-chun-lu/)
- [Robby T. Tan](https://md.research.elamur.ai/free/en/authors/robby-t-tan/)
- [Shao-Hua Sun](https://md.research.elamur.ai/free/en/authors/shao-hua-sun/)
- [Yiming Chen](https://md.research.elamur.ai/free/en/authors/yiming-chen/)
- [Yu Ying Chiu](https://md.research.elamur.ai/free/en/authors/yu-ying-chiu/)
- [Yun-Nung Chen](https://md.research.elamur.ai/free/en/authors/yun-nung-chen/)
- [Zhi Rui Tam](https://md.research.elamur.ai/free/en/authors/zhi-rui-tam/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- Interspeech (USB) ×6
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ×3
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) ×2: [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/), [EACL 2024](https://md.research.elamur.ai/free/en/venues/eacl/2024/)
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track

## Cited by

Papers of our library cite their works 828 times (of the 149,439 papers whose bibliographies we read); [153 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hung-yi-lee/cited-by/).

Updated 31 October 2026